# Sarita Schoenebeck

> American computer scientist

**Wikidata**: [Q105623547](https://www.wikidata.org/wiki/Q105623547)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Sarita_Schoenebeck)  
**Source**: https://4ort.xyz/entity/sarita-schoenebeck

## Summary
Sarita Schoenebeck is an American computer scientist and academic specializing in human–computer interaction and social computing. She currently serves as a faculty member at the University of Michigan School of Information, where her research focuses on the intersection of social media, human behavior, and the study of computation.

## Biography
- Nationality: American
- Education: PhD in human-centered computing from Georgia Tech (2012); Master's degree from University of California, Berkeley (2006); Bachelor's degree in computer engineering from Dartmouth College (2002).
- Known for: Research in human–computer interaction, social computing, and the social implications of social media.
- Employer(s): University of Michigan School of Information (2012–present).
- Field(s): Computer Science, Human–Computer Interaction, Social Computing, Social Media.

## Contributions
Sarita Schoenebeck has established a significant body of work within the academic disciplines of human–computer interaction (HCI) and social computing. Since joining the University of Michigan School of Information in 2012, she has contributed to the study of how individuals and groups interact with digital platforms. Her research is deeply rooted in human-centered computing, a field she specialized in during her doctoral studies at Georgia Tech. This discipline focuses on the design and evaluation of computing systems that support human activities and social structures.

Schoenebeck’s academic output is extensively documented in major research repositories, including the ACM Digital Library, DBLP, and Scopus. Her work involves the application of computer science principles to social media environments, exploring the technical and statistical models that define modern digital interaction. By bridging the gap between computer engineering and social science, she has helped advance the understanding of social computing within both the industrial and service sectors. Her influence in the field is further evidenced by her high visibility in academic indices such as Google Scholar and her role in training the next generation of information scientists at a leading American research university.

## FAQs
### Q: What is Sarita Schoenebeck's primary area of expertise?
A: Sarita Schoenebeck is an expert in human–computer interaction (HCI), social computing, and social media. Her work examines the relationship between computer systems and human social behavior.

### Q: Where does Sarita Schoenebeck work?
A: She is an academic at the University of Michigan School of Information. She has been a member of the faculty there since 2012.

### Q: What is her educational background?
A: She holds a PhD in human-centered computing from Georgia Tech, a Master's degree from the University of California, Berkeley, and a Bachelor's degree in computer engineering from Dartmouth College.

## Why They Matter
Sarita Schoenebeck is a significant figure in the evolution of human-centered computing, a field that has become increasingly critical as digital platforms become central to global communication. Her work provides the necessary academic framework to understand the social dynamics of social media and the technical structures that govern human–computer interaction. By integrating computer engineering with social computing, Schoenebeck addresses the complex challenges of how society adapts to and uses modern technology.

Her role at the University of Michigan School of Information—an institution with a history dating back to 1926—places her at the center of information science research in the United States. Her influence is quantified by her presence in major academic databases like Scopus and the ACM Digital Library, which are benchmarks for scholarly impact in computer science. Furthermore, her ability to engage with both the scientific community and the public is reflected in her substantial social media following and her active presence on platforms like Twitter. Schoenebeck’s research helps ensure that the development of new algorithms and statistical models in computer science remains grounded in human needs and social responsibility.

## Notable For
*   Faculty member at the University of Michigan School of Information since 2012.
*   Doctorate in Human-Centered Computing from Georgia Tech (2012).
*   Extensive research record in Human–Computer Interaction and Social Computing.
*   Significant academic influence with profiles in the ACM Digital Library, Scopus, and Google Scholar.

## Body
### Academic Career and Affiliations
Sarita Schoenebeck began her tenure at the University of Michigan in 2012. She is primarily affiliated with the School of Information, located in Ann Arbor, Michigan. Her work contributes to the school's mission of studying information science and computation within a social context.

### Educational Background
Schoenebeck’s academic training spans several prestigious American institutions:
*   **Dartmouth College (1998–2002):** Earned a bachelor's degree in computer engineering.
*   **University of California, Berkeley (2004–2006):** Earned a master's degree.
*   **Georgia Tech (2006–2012):** Earned a Doctor of Philosophy (PhD) in human-centered computing.

### Research and Professional Identifiers
As a computer scientist, Schoenebeck is recognized across multiple professional platforms. Her work is indexed under the Scopus Author ID 55619369200 and the ACM Digital Library Author ID 81309483660. She is also active in the digital space, maintaining a professional presence on Twitter (handle: syardi) since 2007 and a personal profile on LinkedIn. Her research fields include:
*   **Computer Science:** The study of computation and algorithms.
*   **Human–Computer Interaction:** The academic discipline focused on the interface between people and computers.
*   **Social Computing:** The area of computer science that involves social behavior and computational systems.
*   **Machine Learning:** The study of algorithms and statistical models used by computer systems.

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## References

1. [Source](https://www.si.umich.edu/people/sarita-schoenebeck)
2. LinkedIn
3. [Source](http://yardi.people.si.umich.edu/)
4. [Source](http://yardi.people.si.umich.edu)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-8688-1595/employment/851499)